Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/157526
Title: Road cleanliness monitoring based on deep learning
Authors: Yao, Ruibin
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Yao, R. (2022). Road cleanliness monitoring based on deep learning. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157526
Abstract: In recent years, automation and artificial intelligence have developed rapidly. Because of their adequate semantic feature extraction capabilities, deep learning models, especially deep convolutional neural networks, have been widely and successfully applied in natural scene image classification. Deep learning-based road cleanness detection offers a lot of practical applications in the field of urban cleaning. As a result, the focus of this study is on using deep learning methods to monitor road cleanliness.
URI: https://hdl.handle.net/10356/157526
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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